International Journal of Artificial Intelligence & Applications (IJAIA)

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International Journal of Artificial Intelligence & Applications (IJAIA)
ISSN: 0975-900X (Online); 0976-2191 (Print)
http://www.airccse.org/journal/ijaia/ijaia.html
Scope & Topics
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
Authors are solicited to contribute to the journal by submitting articles that illustrate research
results, projects, surveying works and industrial experiences that describe significant advances
in the areas of Artificial Intelligence & applications.
Topics of interest include, but are not limited to, the following:
 AI Algorithms
 Artificial Intelligence tools & Applications
 Automatic Control
 Bioinformatics
 Natural Language Processing
 CAD Design & Testing
 Computer Vision and Speech Understanding
 Data Mining and Machine Learning Tools
 Fuzzy Logic
 Heuristic and AI Planning Strategies and Tools
 Computational Theories of Learning
 Hybrid Intelligent Systems
 Information Retrieval
 Intelligent System Architectures
 Knowledge Representation
 Knowledge-based Systems
 Mechatronics
 Multimedia & Cognitive Informatics
 Neural Networks
 Parallel Processing
 Pattern Recognition
 Pervasive computing and ambient intelligence
 Programming Languages
 Reasoning and Evolution
 Recent Trends and Developments
 Robotics
 Semantic Web Techniques and Technologies
 Soft computing theory and applications

 Software & Hardware Architectures
 Web Intelligence Applications & Search
Paper Submission
Authors are invited to submit papers for this journal through E-mail: ijaiajournal@airccse.org.
Submissions must be original and should not have been published previously or be under
consideration for publication while being evaluated for this Journal.
Important Dates
 Submission Deadline : May 25, 2024
 Notification : June 20, 2024
 Final Manuscript Due : June 27, 2024
 Publication Date : Determined by the Editor-in-Chief
Current issue URL: https://www.airccse.org/journal/ijaia/current2024.html
Contact Us:
Here's where you can reach us : ijaiajournal@airccse.org or ijaiajournal@yahoo.com
or ijaia@aircconline.com
Submission Link: https://airccse.com/submissioncs/home.html

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications. Topics of interest include, but are not limited to, the following:

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi-monthly peer-reviewed journal that publishes articles on new results in all areas of artificial intelligence and applications. The journal aims to publish new research, projects, surveys, and industrial experiences that illustrate significant advances in artificial intelligence tools, algorithms, and their applications. Topics of interest include AI technologies like machine learning, neural networks, fuzzy logic, robotics, and natural language processing. Authors are invited to submit original papers by the upcoming deadlines of December 16, 2023 for notification by January 17, 2024.

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi-monthly peer-reviewed journal that publishes articles on new results in all areas of artificial intelligence and applications. The journal aims to publish new research, projects, surveys, and industrial experiences that describe advances in AI tools, algorithms, and applications. Topics of interest include AI techniques like machine learning, neural networks, fuzzy logic, and intelligent systems applied to areas such as computer vision, natural language processing, robotics, and bioinformatics. Authors are invited to submit original papers for consideration in the journal.

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

PhotoQR: A Novel ID Card with an Encoded View

gerogepatton

There is an increasing interest in developing techniques to identify and assess data to allow an easy and continuous access to resources, services or places that require thorough ID control. Usually, in order to give access to these resources, different kinds of documents are mandatory. In order to avoid forgeries without the need of extra credentials, a new system –named photoQR, is here proposed. This system is based on a ID card having two objects: one person’s picture (pre-processed via blur and/or swirl techniques) and one QR code containing embedded data related to the picture. The idea is that the picture and the QR code can assess each other by a proper hash value in the QR. The QR without the picture cannot be assessed and vice versa. An open source prototype of the photoQR system has been implemented in Python and can be used both in offline and real-time environments, which effectively combines security concepts and image processing algorithms to obtain data assessment.

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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL

gerogepatton

As digital technology becomes more deeply embedded in power systems, protecting the communication networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3) represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities. Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network (CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to train and test our model. The results of our experiments show that our CNN-LSTM method is much better at finding smart grid intrusions than other deep learning algorithms used for classification. In addition, our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection accuracy rate of 99.50%.

10th International Conference on Artificial Intelligence and Applications (AI...

gerogepatton

10th International Conference on Artificial Intelligence and Applications (AI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Immunizing Image Classifiers Against Localized Adversary Attacks

gerogepatton

This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks (CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations. When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10 and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing accuracy improvements over previous techniques. The results indicate that the combination of the volumetric input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating adversary training.

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International Journal of Artificial Intelligence & Applications (IJAIA)

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The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi-monthly peer-reviewed journal that publishes articles on new results in all areas of artificial intelligence and applications. The journal aims to publish new research, projects, surveys, and industrial experiences that describe advances in AI tools, algorithms, and applications. Topics of interest include AI techniques like machine learning, neural networks, fuzzy logic, and intelligent systems applied to areas such as computer vision, natural language processing, robotics, and bioinformatics. Authors are invited to submit original papers for consideration in the journal.

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International Journal of Artificial Intelligence & Applications (IJAIA)

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